Mohammad Zahidur Rahman
Biographic Data
| ID | 7871898 |
|---|---|
| NAME | Mohammad Zahidur Rahman |
| GIVEN NAMES | Mohammad Zahidur |
| FAMILY NAME | Rahman |
| SIGNATURE | RAHMAN M Z |
| AFFILIATIONS | Jahangirnagar University |
| ORCID | 0000-0002-0998-569X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Assessing the Predictive Capabilities of Autoregressive Integrated Moving Average and Linear Regression Models for Acute Changes in Clinical and Selected Laboratory Parameters in Children After Cardia…
(1) Background: The main objective of this research was to assess the clinical factors related to the condition of pediatric patients with congenital heart defects after they underwent intensive care unit surgery. The information was gathered from the Congenital Heart Disease Surgery Unit at the National Heart Foundation Hospital and Research Institute in Dhaka, Bangladesh. We gathered and examined data from 288 ICU patients. Patients under the a…
Identification of Biomarkers and Molecular Pathways Implicated in Smoking and Covid-19 Associated Lung Cancer Using Bioinformatics and Machine Learning Approaches
Lung cancer (LC) is a significant global health issue, with smoking as the most common cause. Recent epidemiological studies have suggested that individuals who smoke are more susceptible to COVID-19. In this study, we aimed to investigate the influence of smoking and COVID-19 on LC using bioinformatics and machine learning approaches. We compared the differentially expressed genes (DEGs) between LC, smoking, and COVID-19 datasets and identified …
No prominent works on this page.
Assessing the Predictive Capabilities of Autoregressive Integrated Moving Average and Linear Regression Models for Acute Changes in Clinical and Selected Laboratory Parameters in Children After Cardia…
(1) Background: The main objective of this research was to assess the clinical factors related to the condition of pediatric patients with congenital heart defects after they underwent intensive care unit surgery. The information was gathered from the Congenital Heart Disease Surgery Unit at the National Heart Foundation Hospital and Research Institute in Dhaka, Bangladesh. We gathered and examined data from 288 ICU patients. Patients under the a…
Identification of Biomarkers and Molecular Pathways Implicated in Smoking and Covid-19 Associated Lung Cancer Using Bioinformatics and Machine Learning Approaches
Lung cancer (LC) is a significant global health issue, with smoking as the most common cause. Recent epidemiological studies have suggested that individuals who smoke are more susceptible to COVID-19. In this study, we aimed to investigate the influence of smoking and COVID-19 on LC using bioinformatics and machine learning approaches. We compared the differentially expressed genes (DEGs) between LC, smoking, and COVID-19 datasets and identified …
Advanced Statistical Process Monitoring (1 work) · Autoregressive model (1 work) · Bioinformatics (1 work) · Bioinformatics and Genomic Networks (1 work) · Biology (1 work) · Cardiac surgery (1 work) · Cardiology (1 work) · Circular RNAs in diseases (1 work) · Computational biology (1 work) · Computer Science (1 work)